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Paper Abstract and Keywords
Presentation 2014-07-01 11:25
Implementation of Parallel Processing of Chaos Hybrid Optimization for Quadratic Assignment Problem
Keisuke Kanamaru, Hiroyuki Yasuda, Mikio Hasegawa (TUS) NLP2014-30
Abstract (in Japanese) (See Japanese page) 
(in English) Effectiveness of chaotic dynamics for combinatorial optimization has been shown by many previous researches. In this paper, we implement a chaotic hybrids method, which combines a chaotic local search method and a global search using the GA, on a parallel processor to execute the optimization algorithm efficiently. This optimization algorithm is based on the genetic hybrid algorithms that combines the GA and the robust taboo search. The genetic hybrid algorithm has very high performance and has discovered the best known solutions of many benchmark quadratic assignment problems. The performance of this algorithm can be improved by extending it to the chaotic taboo search. Good solutions distributed globally searched by the GA can be improved by the neighboring area search of the chaos taboo search. On serial processing, each good solution found by the GA is
improved one by one, by the chaotic search. On the other hand, those solution improvements can be executed simultaneously in parallel, and it is possible to reduce the execution time significantly. We implement the chaotic hybrid algorithm on a GPU, and show the performance of the algorithm can be improved by the parallel processing.
Keyword (in Japanese) (See Japanese page) 
(in English) Chaos / Neural networks / Taboo search / Chaos search / Quadratic assignment problem / Parallel computing / GPU /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 113, NLP2014-30, pp. 53-58, June 2014.
Paper # NLP2014-30 
Date of Issue 2014-06-23 (NLP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NLP2014-30

Conference Information
Committee NLP  
Conference Date 2014-06-30 - 2014-07-01 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Nonlinear Problems, etc. 
Paper Information
Registration To NLP 
Conference Code 2014-06-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Implementation of Parallel Processing of Chaos Hybrid Optimization for Quadratic Assignment Problem 
Sub Title (in English)  
Keyword(1) Chaos  
Keyword(2) Neural networks  
Keyword(3) Taboo search  
Keyword(4) Chaos search  
Keyword(5) Quadratic assignment problem  
Keyword(6) Parallel computing  
Keyword(7) GPU  
Keyword(8)  
1st Author's Name Keisuke Kanamaru  
1st Author's Affiliation Tokyo University of Science (TUS)
2nd Author's Name Hiroyuki Yasuda  
2nd Author's Affiliation Tokyo University of Science (TUS)
3rd Author's Name Mikio Hasegawa  
3rd Author's Affiliation Tokyo University of Science (TUS)
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Speaker Author-1 
Date Time 2014-07-01 11:25:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2014-30 
Volume (vol) vol.114 
Number (no) no.113 
Page pp.53-58 
#Pages 6 
Date of Issue 2014-06-23 (NLP) 

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